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On-line quality control method of large mechanical product assembly based on machine vision

A quality control method and technology of large-scale machinery, applied in instruments, measuring devices, scientific instruments, etc., can solve the problems of large detection area and large amount of calculation in the detection process, and achieve the effect of improving adaptability and reducing the accuracy of cameras

Inactive Publication Date: 2019-02-12
HEFEI UNIV OF TECH
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Problems solved by technology

[0003] In order to overcome the shortcomings of the existing technology, this method provides an online quality control method suitable for large-scale machined product assemblies based on machine vision, in order to reduce the interference of complex detection environments on the quality of collected images, and overcome Large-scale mechanical processing product assembly has a large detection area and a large amount of calculation in the detection process, so as to realize online quality control of large-scale mechanical processing product assembly

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  • On-line quality control method of large mechanical product assembly based on machine vision
  • On-line quality control method of large mechanical product assembly based on machine vision
  • On-line quality control method of large mechanical product assembly based on machine vision

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Embodiment Construction

[0032] see image 3, the implementation of machine vision-based online quality control of large-scale machined product assemblies includes a large-scale machined product assembly 1, the large-scale machined product assembly 1 is placed in a fixed position, and the computer system 3 stores large-scale machined products All detection point positions and workpiece size information on all detection surfaces of the product assembly 1, assuming that the large-scale machining product assembly 1 contains n detection surfaces, and the i-th detection surface contains m i detection points, 1≤i≤n, and the size of the image of the jth detection point collected on the i-th detection surface is M×N; the robot 2 can perform orbital movement around the large-scale machining product assembly 1 , respectively reach the n detection surfaces of the large-scale machining product assembly 1, and the manipulator on the robot 2 can move according to the planned detection path 4; the visual sensor 5 in...

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Abstract

The invention discloses a machine vision-based online quality control method of a large mechanical product assembly. The method comprises the following steps: determining the detection sequence of all detection points on the detection surface of the large mechanical product assembly through path planning, and acquiring images of all the detection points according to the detection sequence; calculating the influence degree value of environment on the image quality according to real-time acquired detection environment information, and correcting the initial cutoff frequency of a filter function by using the influence degree value to make the image filter processing process effectively adapt to the change of the detection environment; and respectively detecting a target according to a detection type difference by using extracted corners and geometric centre point of the detection target in order to improve the detection speed. The method reduces the interference of the complex detection environment to the image quality, overcomes the difficulties of the large detection area of the large machined product assembly and large calculation amount of the detection process, and realizes the online quality control of the large machined product assembly.

Description

technical field [0001] The method belongs to the field of advanced manufacturing technology, and is specifically an on-line quality control method for large mechanical product assemblies based on machine vision. Background technique [0002] In recent years, machine vision technology has developed rapidly, and its application fields are becoming more and more extensive, including traffic monitoring, medicine, military, etc.; machine vision technology plays an important role in the process of product quality inspection; for small products In the detection process, the position of machine vision detection is relatively fixed, and the influence of the detection environment on the detection results can be controlled by means such as a black box; however, for the detection of large mechanical product assemblies, due to the large size of the detection object, the detection target positions are widely distributed. How to make the inspection process orderly has become an important i...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/89
CPCG01N21/8901
Inventor 葛茂根刘明周扈静王小巧张铭鑫陈莉张彦如凌琳
Owner HEFEI UNIV OF TECH
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